Air conditioner, air conditioner control method, and air conditioner control system

Abstract

An air conditioner includes a communication interface to communicate with a server device, a memory to store one or more instructions, and at least one processor configured to execute the stored one or more instructions to transmit, to the server device through the communication interface, current state information including one or more of operation time information of the air conditioner, set temperature information of the air conditioner, and current indoor temperature information, receive a set temperature increase request corresponding to the transmitted current state information from the server device through the communication interface, and adjust a set temperature of the air conditioner based on the received set temperature increase request, and the set temperature increase request is received when an overcooling period is identified.

What is claimed is: 
     
       1. An air conditioner comprising:
 a communication interface to communicate with a server device; 
 a memory to store one or more instructions; and 
 at least one processor configured to execute the stored one or more instructions to:
 transmit, to the server device through the communication interface, current state information comprising one or more of operation time information of the air conditioner, set temperature information of the air conditioner, and current indoor temperature information; 
 receive a set temperature increase request corresponding to the transmitted current state information from the server device through the communication interface; and 
 adjust a set temperature of the air conditioner based on the received set temperature increase request, 
 
 wherein a comfortable temperature graph is obtained from a first Artificial Intelligence (AI) model and a first predicted temperature graph is obtained from a second AI model based on the transmitted current state information, 
 wherein the set temperature increase request is received when an overcooling period, in which the obtained first predicted temperature graph is reduced below the obtained comfortable temperature graph, is identified, and 
 wherein the comfortable temperature graph comprises an unstable period in which a comfortable temperature changes based on an operation time of the air conditioner, and a stable period in which the comfortable temperature is constantly maintained. 
 
     
     
       2. The air conditioner of  claim 1 , wherein the comfortable temperature graph is obtained by applying one or more of operation timing information of the air conditioner, fan speed information of the air conditioner, indoor humidity information, outdoor humidity information, indoor temperature information, and outdoor temperature information to the first AI model. 
     
     
       3. The air conditioner of  claim 1 , wherein the set temperature increase request comprises information instructing to change the set temperature of the air conditioner to a first temperature, and
 wherein the first temperature is determined from among one or more set temperatures, based on a result of comparing the comfortable temperature graph to one or more second predicted temperature graphs obtained by inputting the one or more set temperatures to the second AI model. 
 
     
     
       4. The air conditioner of  claim 3 , wherein a second predicted temperature graph obtained by applying the first temperature to the second AI model is not reduced below the comfortable temperature graph and is closest to the comfortable temperature graph. 
     
     
       5. The air conditioner of  claim 1 , wherein the processor is further configured to execute the one or more instructions to:
 receive a fan speed reduction request from the server device corresponding to the transmitted current state information; and 
 adjust a fan speed of the air conditioner based on the fan speed reduction request. 
 
     
     
       6. The air conditioner of  claim 1 , wherein the first predicted temperature graph is obtained by further applying one or more of operation timing information of the air conditioner, indoor humidity information, outdoor temperature information, outdoor humidity information, weather information, performance information of the air conditioner, and installation space information of the air conditioner to the second AI model. 
     
     
       7. An operating method of an air conditioner, the operating method comprising:
 transmitting, to a server device, current state information comprising one or more of operation time information of the air conditioner, set temperature information of the air conditioner, and current indoor temperature information; 
 receiving a set temperature increase request corresponding to the transmitted current state information from the server device; and 
 adjusting a set temperature of the air conditioner based on the received set temperature increase request, 
 wherein a comfortable temperature graph is obtained from a first Artificial Intelligence (AI) model and a first predicted temperature graph is obtained from a second AI model based on the transmitted current state information, 
 wherein the set temperature increase request is received when an overcooling period, in which the obtained first predicted temperature graph is reduced below the obtained comfortable temperature graph, is identified, and 
 wherein the comfortable temperature graph comprises an unstable period in which a comfortable temperature changes based on an operation time of the air conditioner, and a stable period in which the comfortable temperature is constantly maintained. 
 
     
     
       8. The operating method of  claim 7 , wherein the comfortable temperature graph is obtained by applying one or more of operation timing information of the air conditioner, fan speed information of the air conditioner, indoor humidity information, outdoor humidity information, indoor temperature information, and outdoor temperature information to the first AI model. 
     
     
       9. The operating method of  claim 7 , wherein the set temperature increase request comprises information instructing to change the set temperature of the air conditioner to a first temperature, and
 wherein the first temperature is determined from among one or more set temperatures, based on a result of comparing the comfortable temperature graph to one or more second predicted temperature graphs obtained by inputting the one or more set temperatures to the second AI model. 
 
     
     
       10. The operating method of  claim 9 , wherein a second predicted temperature graph obtained by applying the first temperature to the second AI model is not reduced below the comfortable temperature graph and is closest to the comfortable temperature graph. 
     
     
       11. The operating method of  claim 7 , further comprising:
 receiving a fan speed reduction request from the server device corresponding to the transmitted current state information; and 
 adjusting a fan speed of the air conditioner based on the fan speed reduction request. 
 
     
     
       12. The operating method of  claim 7 , wherein the first predicted temperature graph is obtained by further applying one or more of operation timing information of the air conditioner, indoor humidity information, outdoor temperature information, outdoor humidity information, weather information, performance information of the air conditioner, and installation space information of the air conditioner to the second AI model. 
     
     
       13. A control system comprising:
 an air conditioner configured to transmit, to a server device, current state information comprising one or more of operation time information of the air conditioner, set temperature information of the air conditioner, and current indoor temperature information, and adjust a set temperature of the air conditioner based on a set temperature increase request, corresponding to the transmitted current state information, received from the server device; and 
 the server device configured to transmit the set temperature increase request to the air conditioner when an overcooling period, is identified, 
 wherein a comfortable temperature graph is obtained from a first Artificial Intelligence (AI) model and a first predicted temperature graph is obtained from a second AI model based on the transmitted current state information, 
 wherein the overcooling period is a period when the obtained first predicted temperature is reduced below the obtained comfortable temperature graph, and 
 wherein the comfortable temperature graph comprises an unstable period in which a comfortable temperature changes based on an operation time of the air conditioner, and a stable period in which the comfortable temperature is constantly maintained, and is obtained by applying one or more of operation timing information of the air conditioner, fan speed information of the air conditioner, indoor humidity information, outdoor humidity information, indoor temperature information, and outdoor temperature information to the first AI model. 
 
     
     
       14. The control system of  claim 13 , wherein the set temperature increase request comprises information instructing to change the set temperature of the air conditioner to a first temperature, and
 wherein the server device is further configured to determine the first temperature from among one or more set temperatures, based on a result of comparing the comfortable temperature graph to one or more second predicted temperature graphs obtained by inputting the one or more set temperatures to the second AI model. 
 
     
     
       15. The control system of  claim 14 , wherein a second predicted temperature graph obtained by applying the first temperature to the second AI model is not reduced below the comfortable temperature graph and is closest to the comfortable temperature graph. 
     
     
       16. The control system of  claim 13 , wherein the air conditioner is further configured to receive a fan speed reduction request from the server device corresponding to the transmitted current state information, and adjust a fan speed of the air conditioner based on the fan speed reduction request. 
     
     
       17. The control system of  claim 13 , wherein the server device is further configured to obtain the first predicted temperature graph from the second AI model by further applying one or more of operation timing information of the air conditioner, indoor humidity information, outdoor temperature information, outdoor humidity information, weather information, performance information of the air conditioner, and installation space information of the air conditioner to the second AI model.